BEEP: A Python library for Battery Evaluation and Early Prediction
Battery evaluation and early prediction software package (BEEP) provides an open-source Python-based framework for the management and processing of high-throughput battery cycling data-streams. BEEPs features include file-system based organization of raw cycling data and metadata received from cell...
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Veröffentlicht in: | SoftwareX 2020-01, Vol.11, p.100506, Article 100506 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Battery evaluation and early prediction software package (BEEP) provides an open-source Python-based framework for the management and processing of high-throughput battery cycling data-streams. BEEPs features include file-system based organization of raw cycling data and metadata received from cell testing equipment, validation protocols that ensure the integrity of such data, parsing and structuring of data into Python-objects ready for analytics, featurization of structured cycling data to serve as input for machine-learning, and end-to-end examples that use processed data for anomaly detection and featurized data to train early-prediction models for cycle life. BEEP is developed in response to the software and expertise gap between cell-level battery testing and data-driven battery development. |
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ISSN: | 2352-7110 2352-7110 |
DOI: | 10.1016/j.softx.2020.100506 |